Graph drawing by force-directed placement
Software—Practice & Experience
A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Similarity of Semantic Relations
Computational Linguistics
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Extracting semantic orientations of words using spin model
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Analyzing (social media) networks with NodeXL
Proceedings of the fourth international conference on Communities and technologies
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Developing HEO human emotions ontology
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
A multi-domain web-based algorithm for POS tagging of unknown words
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Improving the impact of subjectivity word sense disambiguation on contextual opinion analysis
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Developing Japanese WordNet Affect for analyzing emotions
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Knowledge capture from multiple online sources with the extensible web retrieval toolkit (eWRT)
Proceedings of the seventh international conference on Knowledge capture
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Current sentiment analysis systems rely on static (context independent) sentiment lexica with proximity based fixed-point prior polarities. However, sentiment-orientation changes with context and these lexical resources give no indication of which value to pick at what context. The general trend is to pick the highest one, but which that is may vary at context. To overcome the problems of the present proximity-based static sentiment lexicon techniques, the paper proposes a new way to represent sentiment knowledge in a Vector Space Model. This model can store dynamic prior polarity with varying contextual information. The representation of the sentiment knowledge in the Conceptual Spaces of distributional Semantics is termed Sentimantics.